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Titel:

Toward Certification of Machine-Learning Systems for Low Criticality Airborne Applications

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Dmitriev, Konstantin; Schumann, Johann; Holzapfel, Florian
Abstract:
---The exceptional progress in the field of machine learning (ML) in recent years has attracted a lot of interest in using this technology in aviation. Possible airborne applications of ML include safety-critical functions, which must be developed in compliance with rigorous certification standards of the aviation industry. Current certification standards for the aviation industry were developed prior to the ML renaissance without taking specifics of ML technology into account. There are some fu...     »
Kongress- / Buchtitel:
2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC)
Jahr:
2021
Volltext / DOI:
doi:10.1109/DASC52595.2021.9594467
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